Update script.py

script.py

@@ -34,7 +34,8 @@ def do_inference(dataset_name, output_dir, num_tokens):
     card_string = ''
     if(num_tokens > 0):
         tokens_sequence = ''.join(f'<s{i}>' for i in range(num_tokens))
-        tokens_list = tokens_sequence.split('>')
+        tokens_list = [f'<s{i}>' for i in range(num_tokens)]
+    
         state_dict = load_file(f"{output_dir}/embeddings.safetensors")
         pipe.load_textual_inversion(state_dict["clip_l"], token=tokens_list, text_encoder=pipe.text_encoder, tokenizer=pipe.tokenizer)
         pipe.load_textual_inversion(state_dict["clip_g"], token=tokens_list, text_encoder=pipe.text_encoder_2, tokenizer=pipe.tokenizer_2)
@@ -94,5 +95,6 @@ def main():
     print("Training finished!")
     do_inference(args.dataset_name, args.output_dir, args.num_new_tokens_per_abstraction)
     print("All finished!")
+
 if __name__ == "__main__":
-    main()
+    main()